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Updated
Sep 30, 2020 - Jupyter Notebook
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reducelearningrate
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nlp word-embeddings lstm gru neural-networks lstm-model stemming lemmatization kaggle-dataset countvectorizer glove-embeddings gru-model tf-idf-vectorizer onehot-encoder news-dataset early-stopping reducelearningrate onehot-encoding fake-real-news-dataset sequence-padding
It has 12 Classes for twelve different types of crops. This Dataset is in a zip file containing twelve folders of each plant containing their pictures. It is a Image Classification Problem, which can be easily solved Deep Learning Models such CNN(Convolutional Neural Networks)
deep-learning agriculture data-visualization plants dropout image-classification convolutional-neural-networks confusion-matrix image-segmentation crops multi-class-classification earlystopping field-dataset reducelearningrate
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Jun 8, 2019 - Jupyter Notebook
Effective deep learning approaches for animal classification.
deep-learning cross-validation accuracy recall transfer-learning f1 precision evaluation-metrics cnn-keras loss-functions cnn-classification class-weights pre-trained-model reducelearningrate stratified-k-fold
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Feb 9, 2025 - Jupyter Notebook
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